A Multi-modal Approach for Crop Health Mapping using low altitude Remote Sensing, Internet of Things (IoT) and Machine Learning

Shafi, U, Mumtaz, R, Naveed, I et al. (4 more authors) (2020) A Multi-modal Approach for Crop Health Mapping using low altitude Remote Sensing, Internet of Things (IoT) and Machine Learning. IEEE Access, 8. pp. 112708-112724. ISSN 2169-3536

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: This item is protected by copyright, all rights reserved. This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Keywords: Internet of Things (IoT) , precision agriculture , NDVI , crop health
Dates:
  • Published: 16 June 2020
  • Accepted: 8 June 2020
  • Published (online): 16 June 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 17 Jun 2020 12:00
Last Modified: 03 Aug 2020 15:00
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/ACCESS.2020.3002948

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